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* SSPA NEWS *
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CHANGES IN SSPA VERSION 1.99.0
NEW FEATURES
o Added new estimation method for the density of effect sizes and proportion of non differentially expressed genes
o power and sample size analysis can now also be performed for experimental designs that lead to F and \chi^2 statistics e.g. RNAseq data
BUG FIXES
o suppressWarings from dt or pt when ncp is large
CHANGES IN SSPA VERSION 1.5.1
NEW FEATURES
o Accessor functions for both PilotData and SampleSize class
o Added Nutrigenomics data for use in examples
o Updated the citation
o Updated the vignette
o Plots produced by the packages are now using the lattice packages
BUG FIXES
o replaced call .C("massdist", ... package="stats") to .C("massdist", ... package="sspa")
CHANGES IN SSPA VERSION 1.5.0
NEW FEATURES
o Added Student t distribution as distribution for non-differentially expressed genes
o Added moderated version of the Student t distribution for more reliable results when using SSPA in combination with limma
o Better upper bound estimates for pi0 taken from Efron et al. (2001) Empirical Bayes Analysis of a Microarray Experiment.
o Replaced FFT derived characteristic function by analytical expression for the characteristic functions both normal and Student t
BUG FIXES
o In function Power(): corrected the effective sample size if user defined
o Figure captions in vignette modified